Correlation Between Universal Health and McEwen Mining
Can any of the company-specific risk be diversified away by investing in both Universal Health and McEwen Mining at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Universal Health and McEwen Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Universal Health Services and McEwen Mining, you can compare the effects of market volatilities on Universal Health and McEwen Mining and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Universal Health with a short position of McEwen Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Universal Health and McEwen Mining.
Diversification Opportunities for Universal Health and McEwen Mining
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Universal and McEwen is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Universal Health Services and McEwen Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on McEwen Mining and Universal Health is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Universal Health Services are associated (or correlated) with McEwen Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of McEwen Mining has no effect on the direction of Universal Health i.e., Universal Health and McEwen Mining go up and down completely randomly.
Pair Corralation between Universal Health and McEwen Mining
Assuming the 90 days trading horizon Universal Health Services is expected to under-perform the McEwen Mining. But the stock apears to be less risky and, when comparing its historical volatility, Universal Health Services is 1.5 times less risky than McEwen Mining. The stock trades about -0.14 of its potential returns per unit of risk. The McEwen Mining is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 927.00 in McEwen Mining on October 3, 2024 and sell it today you would lose (158.00) from holding McEwen Mining or give up 17.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 96.83% |
Values | Daily Returns |
Universal Health Services vs. McEwen Mining
Performance |
Timeline |
Universal Health Services |
McEwen Mining |
Universal Health and McEwen Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Universal Health and McEwen Mining
The main advantage of trading using opposite Universal Health and McEwen Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Universal Health position performs unexpectedly, McEwen Mining can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in McEwen Mining will offset losses from the drop in McEwen Mining's long position.Universal Health vs. Weiss Korea Opportunity | Universal Health vs. River and Mercantile | Universal Health vs. SANTANDER UK 10 | Universal Health vs. Coor Service Management |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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